Evidence map›Paper›PMID 38359680›Full record

ArticleThe Journal of surgical research2024

Anatomy Versus Biology: What Guides Chemotherapy Decisions in Older Patients With Breast Cancer?

Sydney M Record, Samantha M Thomas, William M Tian, Astrid Botty van den Bruele, Akiko Chiba, Gayle DiLalla, Maggie L DiNome, Gretchen Kimmick, Laura H Rosenberger, Hannah E Woriax and 2 more

Abstract readInteractive Tutorial
In one paragraph

Article in The Journal of surgical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Sydney M RecordDepartment of Surgery, Duke University Medical Center, Durham, North Carolina.
Samantha M ThomasDuke Cancer Institute, Duke University, Durham, North Carolina; Biostatistics and Bioinformatics, Duke University, Durham, North Carolina.
William M TianDepartment of Surgery, Duke University Medical Center, Durham, North Carolina.
Astrid Botty van den BrueleDepartment of Surgery, Duke University Medical Center, Durham, North Carolina; Duke Cancer Institute, Duke University, Durham, North Carolina.
Akiko ChibaDepartment of Surgery, Duke University Medical Center, Durham, North Carolina; Duke Cancer Institute, Duke University, Durham, North Carolina.
Gayle DiLallaDepartment of Surgery, Duke University Medical Center, Durham, North Carolina; Duke Cancer Institute, Duke University, Durham, North Carolina.
Maggie L DiNomeDepartment of Surgery, Duke University Medical Center, Durham, North Carolina; Duke Cancer Institute, Duke University, Durham, North Carolina.
Gretchen KimmickDuke Cancer Institute, Duke University, Durham, North Carolina; Department of Medicine, Duke University Medical Center, Durham, North Carolina.
Laura H RosenbergerDepartment of Surgery, Duke University Medical Center, Durham, North Carolina; Duke Cancer Institute, Duke University, Durham, North Carolina.
Hannah E WoriaxDepartment of Surgery, Duke University Medical Center, Durham, North Carolina; Duke Cancer Institute, Duke University, Durham, North Carolina.
E Shelley HwangDepartment of Surgery, Duke University Medical Center, Durham, North Carolina; Duke Cancer Institute, Duke University, Durham, North Carolina.
Jennifer K PlichtaDepartment of Surgery, Duke University Medical Center, Durham, North Carolina; Duke Cancer Institute, Duke University, Durham, North Carolina; Department of Population Health Sciences, Duke University Medical Center, Durham, North Carolina. Electronic address: jennifer.plichta@duke.edu.

Funding

Women's Cancer Research ProgramP30CA014236 · NCI · DUKE UNIVERSITY · PI JOHN N. NORTON · 1985 to 2026
$174.8M
Building Interdisciplinary Research Careers in Women's Health (K12) - Administrative SupplementK12AR084231 · NIAMS · DUKE UNIVERSITY · PI Cindy Amundsen · 2023 to 2026
$2.5M
NCI NIH HHS P30 CA014236NIAMS NIH HHS K12 AR084231
6 · The paper itself

Abstract

introductionWith the increasing utilization of genomic assays, such as the Oncotype DX recurrence score (RS), the relevance of anatomic staging has been questioned for select older patients with breast cancer. We sought to evaluate differences in chemotherapy receipt and/or survival among older patients based on RS and sentinel lymph node biopsy (SLNB) receipt/result.

methodsPatients aged ≥ 65 diagnosed with pT1-2/cN0/M0 hormone-receptor-positive (HR+)/HER2-breast cancer (2010-2019) were selected from the National Cancer Database. Logistic regression was used to identify factors associated with chemotherapy receipt. Cox proportional hazards models were used to estimate the association of RS/SLNB group with overall survival. A cost-benefit study was also performed.

resultsOf the 75,428 patients included, the majority had an intermediate RS (58.2% versus 27.9% low, 13.8% high) and were SLNB- (85.1% versus 11.6% SLNB+, 3.3% none). Chemotherapy was recommended for 13,442 patients (17.8%). After adjustment, chemotherapy receipt was more likely with higher RS and SLNB+. After adjustment, SLNB receipt/result was only associated with overall survival among those with an intermediate RS. However, returning to the OR for SLNB is not cost-effective.

conclusionsSLNB receipt/result was associated with survival for those with an intermediate RS, but not a low or high RS, suggesting that an SLNB may indeed be unnecessary for select older patients with breast cancer.

Indexed as

Breast NeoplasmsAgedAxillaBiologyErb-b2 Receptor Tyrosine KinasesFemaleHumansLymph Node ExcisionProportional Hazards ModelsSentinel Lymph Node BiopsyErb-b2 Receptor Tyrosine KinasesBreast cancerElderlyGenomic testingOncotypeSentinel lymph node biopsySurvival

Identifiers

PMID38359680
PMCPMC10947834

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.